Using matK sequence data to unravel the phylogeny of Casuarinaceae

Dorothy A Steane; K L Wilson; R S Hill

doi:10.1016/S1055-7903(03)00028-9

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Using matK sequence data to unravel the phylogeny of Casuarinaceae

Journal article

Peer reviewed

Using matK sequence data to unravel the phylogeny of Casuarinaceae

Dorothy A Steane, K L Wilson and R S Hill

Molecular Phylogenetics and Evolution, Vol.28(1), pp.47-59

2003

DOI: https://doi.org/10.1016/S1055-7903(03)00028-9

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Abstract

Genetics

Evolutionary Biology

Zoology

Casuarinaceae are a Gondwanic family with a unique combination of morphological characters not comparable to any other family. Until recently, the 96 species in the family were classified in a single genus, Casuarina s.l. A recent morphological revision of the family resulted in the splitting of Casuarina s.l. into four genera-Allocasuarina, Casuarina s.s., Ceuthostoma, and Gymnostoma. This study uses matK sequence data from 76 species of Casuarinaceae and eight outgroup taxa to examine the phylogenetic structure within the Casuarinaceae. The study demonstrates the monophyly of the four genera and examines the relationships within the family; it tests the validity of the infra-generic subdivision of Allocasuarina; it discovers geography-based infra-generic subdivisions within Gymnostoma and Casuarina; and, finally, provides a molecular framework on which to trace the evolution of xeromorphy in the Casuarinaceae.

Details

Title: Using matK sequence data to unravel the phylogeny of Casuarinaceae
Authors: Dorothy A Steane (Author) - University of Tasmania
K L Wilson (Author) - Royal Botanic Gardens Sydney
R S Hill (Author) - University of Adelaide
Publication details: Molecular Phylogenetics and Evolution, Vol.28(1), pp.47-59
Publisher: Academic Press
Date published: 2003
DOI: 10.1016/S1055-7903(03)00028-9
ISSN: 1055-7903
Organisation Unit: University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99450274902621
Output Type: Journal article

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Collaboration types: Domestic collaboration
Web Of Science research areas: Biochemistry & Molecular Biology; Evolutionary Biology; Genetics & Heredity

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